Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide

Name: Hyperparameter Tuning for Machine and Deep Learning with R
Brand: Springer Verlag, Singapore
SKU: 9789811951725
Price: 6300 KES
Availability: OutOfStock
ISBN: 9789811951725

1st ed. 2023

Book Details

Format Paperback / softback

ISBN-10 9811951721

ISBN-13 9789811951725

Edition 1st ed. 2023

Publisher Springer Verlag, Singapore

Imprint Springer Verlag, Singapore

Country of Manufacture GB

Country of Publication GB

Publication Date Dec 19th, 2022

Print length 323 Pages

Weight 518 grams

Dimensions 23.40 x 16.60 x 3.10 cms

Product Classification: Mathematical / Computational / Theoretical physics Mathematical physics Mathematical & statistical software Mathematical and statistical software Machine learning

KSh 6,300.00

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This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods.

Chapter 1: Introduction.- Chapter 2: Tuning.- Chapter 3: Models.- Hyperparameter Tuning Approaches.- Chapter 5: Result Aggregation.- Chapter 6: Relevance of Tuning in Industrial Applications.- Chapter 7: Hyperparameter Tuning in German Official Statistics.- Chapter 8: Case Study I.- Chapter 9: Case Study II.- Chapter 10: Case Study III.- Chapter IV: Case Study IV.- Chapter 12: Global Study.

Get Hyperparameter Tuning for Machine and Deep Learning with R by Eva Bartz at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Verlag, Singapore and it has 323 pages.